Presentation + Paper
27 April 2018 Motion image data collection simulation for structure-from-motion 3D target reconstruction
Andrew Kalukin, Robert Pinkerton
Author Affiliations +
Abstract
Motion imagery can be used in some circumstances as a source of data for reconstructing three-dimensional (3D) representations of targets and objects in the scene. This research explores the utility of using motion image data collection simulation for input to a 3D target reconstruction algorithm based on structure-from-motion. The use of simulated video is advantageous for testing potential collections on targets or geographical areas for which real video and images may be unavailable. Examples are provided of tests of angular sampling and occlusion, degradation of input imagery through blurring, and measurement of their effects on 3D reconstruction quality.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Kalukin and Robert Pinkerton "Motion image data collection simulation for structure-from-motion 3D target reconstruction", Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 1064509 (27 April 2018); https://doi.org/10.1117/12.2306535
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KEYWORDS
Video

3D acquisition

3D image processing

3D image reconstruction

3D modeling

Computer simulations

Digital imaging

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